NOMAD: Generating Embeddings for Massive Distributed Graphs
arXiv:2604.09419v1 Announce Type: new
Abstract: Successful machine learning on graphs or networks requires embeddings that not only represent nodes and edges as low-dimensional vectors but also preserve the graph structure. Established methods for gen…